Summary of Prospector Heads: Generalized Feature Attribution For Large Models & Data, by Gautam Machiraju et al.
Prospector Heads: Generalized Feature Attribution for Large Models & Databy Gautam Machiraju, Alexander Derry, Arjun…
Summary of A Curious Case Of Searching For the Correlation Between Training Data and Adversarial Robustness Of Transformer Textual Models, by Cuong Dang et al.
A Curious Case of Searching for the Correlation between Training Data and Adversarial Robustness of…
Summary of An End-to-end Attention-based Approach For Learning on Graphs, by David Buterez et al.
An end-to-end attention-based approach for learning on graphsby David Buterez, Jon Paul Janet, Dino Oglic,…
Summary of Parametric Augmentation For Time Series Contrastive Learning, by Xu Zheng et al.
Parametric Augmentation for Time Series Contrastive Learningby Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma,…
Summary of Generating Visual Stimuli From Eeg Recordings Using Transformer-encoder Based Eeg Encoder and Gan, by Rahul Mishra et al.
Generating Visual Stimuli from EEG Recordings using Transformer-encoder based EEG encoder and GANby Rahul Mishra,…
Summary of Low-rank Graph Contrastive Learning For Node Classification, by Yancheng Wang et al.
Low-Rank Graph Contrastive Learning for Node Classificationby Yancheng Wang, Yingzhen YangFirst submitted to arxiv on:…
Summary of Graph Mamba: Towards Learning on Graphs with State Space Models, by Ali Behrouz and Farnoosh Hashemi
Graph Mamba: Towards Learning on Graphs with State Space Modelsby Ali Behrouz, Farnoosh HashemiFirst submitted…
Summary of Object Detection in Thermal Images Using Deep Learning For Unmanned Aerial Vehicles, by Minh Dang Tu et al.
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehiclesby Minh Dang Tu,…
Summary of Only the Curve Shape Matters: Training Foundation Models For Zero-shot Multivariate Time Series Forecasting Through Next Curve Shape Prediction, by Cheng Feng et al.
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through…
Summary of One Train For Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning, by Haozhen Zhang et al.
One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learningby Haozhen…